Molecular tracking of multiple disease resistance in a winter wheat diversity panel
- 143 Downloads
About 10% of cultivars possessed superior resistance to four fungal diseases and association mapping for multiple disease resistance identified loci which are not detected by analyzing individual disease resistances.
Multiple disease resistance (MDR) aims for cultivars that are resistant to more than one disease which is an important prerequisite for the registration of commercial cultivars. We analyzed a European winter wheat diversity panel of 158 old and new cultivars for four diseases by natural (powdery mildew) and artificial inoculation (yellow rust, stem rust, Fusarium head blight) observed on the same plot in a multilocation trial. Genotypic analyses were based on 21,543 genotype-by-sequencing markers. By association mapping, eight to 18 quantitative-trait loci (QTL) were detected for individual disease resistances, explaining in total 67–90% of the total genotypic variation. For MDR, nine QTL could be found explaining 62% of the total genotypic variation. Only three of them were also found as QTL for a single disease resistance illustrating that mapping of MDR-associated QTL can be regarded as a complementary approach. The high prediction ability obtained for MDR (> 0.9) implies that genomic prediction could be used in future, thereby eliminating the necessity to separately screen large numbers of lines in breeding programs for several diseases.
This research was financially supported by the Deutsche Forschungsgemeinschaft (DFG), Bonn, Germany, by financing a Grant to FL (DFG LO 1816/4-1). Excellent technical support from all stations is highly acknowledged.
Author contribution statement
TM wrote the manuscript; WA conducted phenotyping at one location, analyzed the data, validated markers, and drafted parts of the manuscript. KF conducted the experiments at Berlin-Dahlem, provided yellow and stem rust spores for all locations and scientific advice. AJ and MT contributed field space, supervised the inoculations and data recording. FL and TM developed the project and designed experiments; FL directed the study. TW supported with statistical advice and edited the manuscript.
Compliance with ethical standards
Conflict of interest
The authors declare that they have no conflict of interest.
The authors declare that the experiments comply with the current laws of Germany.
- Appels R, Eversole K, Feuillet C, Keller B, Rogers J, Stein N et al (2018) Shifting the limits in wheat research and breeding using a fully annotated reference genome. Science 361(6403):eaar7191. https://doi.org/10.1126/science.aar7191
- BSL (2018) Descriptive variety list. Cereal, maize, large grained pulse crops, root crops (except potato, in German). Hannover: Bundessortenamt. https://www.bundessortenamt.de/internet30/fileadmin/Files/PDF/bsl_getreide_2018.pdf. Accessed 25 Jan 2019
- Buerstmayr M, Matiasch L, Mascher F et al (2014) Mapping of quantitative adult plant field resistance to leaf rust and stripe rust in two European winter wheat populations reveals co-location of three QTL conferring resistance to both rust pathogens. Theor Appl Genet 127:2011–2028PubMedPubMedCentralCrossRefGoogle Scholar
- Buerstmayr H, Mohler V, Kohli M (2017) Advances in control of wheat diseases: Fusarium head blight, wheat blast and powdery mildew. In: Langridge P (ed) Achieving sustainable cultivation of wheat—vol 1: breeding, quality traits, pests and diseases. Burleigh Dodds Sci Publ, CambridgeGoogle Scholar
- Bulli P, Zhang J, Chao S, Chen X, Pumphrey M (2016) Genetic architecture of resistance to stripe rust in a global winter wheat germplasm collection. G3 Genes Genomes Genet 6:2237–2253Google Scholar
- Chen S, Rouse MN, Zhang W, Jin Y, Akhunov E, Wei Y, Dubcovsky J (2015) Fine mapping and characterization of Sr21, a temperature-sensitive diploid wheat resistance gene effective against the Puccinia graminis f. sp. tritici Ug99 race group. Theor Appl Genet 128:645–656PubMedPubMedCentralCrossRefGoogle Scholar
- Holzapfel J, Mohler V, Häberle J, Schweizer G, Miedaner T, Voss H-H, Korzun V, Hartl L (2008) Genome distribution of QTL for Fusarium head blight resistance in European wheat germplasm. In: The 11th international wheat genetics symposium proceedings in Brisbane, QLD, Australia, 24–29 August, pp 789–791Google Scholar
- Lynch M, Walsh B (1998) Genetics and analysis of quantitative traits. Sinauer Associates, SunderlandGoogle Scholar
- McIntosh RA, Yamazaki Y, Dubcovsky J et al (2013) Catalogue of gene symbols for wheat. In: Ogihara Y (ed) Proceeding of the 12th international wheat genetics symposium, Yokohama, Japan, 8–13 Sept 2013, pp 8–13Google Scholar
- McIntosh RA, Dubcovsky J, Rogers WJ, Morris C, Xia XC (2017) Catalogue of gene symbols for wheat: 2017 Supplement. Annu Wheat Newsl 53:1–20Google Scholar
- Meier U (2001) Growth stages of mono- and dicotyledonous plants. BBCH Monograph. Internet: https://www.julius-kuehn.de/media/Veroeffentlichungen/bbch%20epaper%20en/page.pdf. Accessed 25. Jan 2019
- Miedaner T (2016) Chapter 15. Breeding strategies for improving plant resistance to diseases. In: Al-Khayri JM, Jain SM, Johnson DV (eds) Advances in plant breeding strategies: agronomy, abiotic and biotic stress traits. Springer International Publishing, Berlin, pp 561–599. https://doi.org/10.1007/978-3-319-22518-0
- Money D, Gardner K, Migicovsky Z, Schwaninger H, Zhong GY, Myles S (2015) LinkImpute: fast and accurate genotype imputation for non-model organisms. G3 Genes Genomes Genet 5:2383–2390Google Scholar
- Paterson J (2014) Multiple disease resistance the holy grail. https://grdc.com.au/resources-and-publications/groundcover/ground-cover-supplements/gcs110/multiple-disease-resistance-the-holy-grail. Accessed 25 Jan 2019
- Serfling A, Kopahnke D, Habekuss A, Novakazi F, Ordon F (2017) Wheat diseases: an overview. In: Langridge P (ed) Achieving sustainable cultivation of wheat—vol 1: breeding, quality traits, pests and diseases. Burleigh Dodds Sci Publ, CambridgeGoogle Scholar
- Singh D, Park RF, McIntosh RA, Bariana HS (2008) Characterisation of stem rust and stripe rust seedling resistance genes in selected wheat cultivars from the United Kingdom. J Plant Pathol 90:553–562Google Scholar
- Singh A, Singh VK, Singh SP et al (2012) Molecular breeding for the development of multiple disease resistance in Basmati rice. AoB Plants 2012:pls029. https://doi.org/10.1093/aobpla/pls029
- Snedecor GW, Cochran WG (1989) Statistical methods, 8th edn. Iowa State Univ Press, AmesGoogle Scholar
- Soto-Cerda BJ, Cloutier S (2012) Association mapping in plant genomes. In: Caliskan M (ed) Genetic diversity in plants. InTech Rijeka, Croatia. https://www.intechopen.com/books/genetic-diversity-in-plants/association-mapping-in-plant-genomes. Accessed 25 Jan 2019
- Thapa R, Brown-Guedira G, Ohm HW, Mateos-Hernandez M, Wise KA, Goodwin SB (2016) Determining the order of resistance genes against Stagonospora nodorum blotch, Fusarium head blight and stem rust on wheat chromosome arm 3BS. BMC Res Notes 9:58. https://doi.org/10.1186/s13104-016-1859-z CrossRefPubMedPubMedCentralGoogle Scholar
- Utz HF, Melchinger AE, Schön CC (2000) Bias and sampling error of the estimated proportion of genotypic variance explained by quantitative trait loci determined from experimental data in maize using cross validation and validation with independent samples. Genetics 154:1839–1849PubMedPubMedCentralGoogle Scholar
- Yi X, Cheng J, Jiang Z, Hu W, Bie T, Gao D, Li D, Wu R, Li Y, Chen S, Cheng X, Liu J, Zhang Y, Cheng S (2018) Genetic analysis of Fusarium head blight resistance in CIMMYT bread wheat line C615 using traditional and conditional QTL mapping. Front Plant Sci 9:573. https://doi.org/10.3389/fpls.2018.00573 CrossRefPubMedPubMedCentralGoogle Scholar